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5 та иш

Иш: On the Application of Slowly Varying Functions with Remainder in the Theory of Markov Branching Processes with Mean One and Infinite Variance

  1. On asymptotic structure of continuous-time Markov branching processes allowing immigration without higher-order moments

    Азам А. Имомов, Abror Khujanazarovich Meyliev

    МақолаStochastic processes and statistical mechanicsUfimskii Matematicheskii Zhurnal20214 иқтибос
    ABI

  2. Monotone Ratio theorem convergence rate and its consequences in the theory of continuous-time Markov branching systems

    Азам А. Имомов, Misliddin Murtazaev

    ПрепринтStochastic processes and statistical mechanicsResearch Square20220 иқтибос
    ABI

  3. Refined Limit Theorems for the Critical Continuous-Time Markov Branching Systems

    Азам А. Имомов, Misliddin Murtazaev

    БобStochastic processes and statistical mechanicsCommunications in computer and information science20230 иқтибос
    ABI

  4. On Properties of Karamata Slowly Varying Functions with Remainder and Their Applications

    Азам А. Имомов, Erkin E. Tukhtaev, János Sztrik

    Препринтadvanced mathematical theoriesPreprints.org20240 иқтибос
    ABI

  5. On Application of Karamata Slowly Varying Functions in the Theory of Noncritical Markov Branching Systems

    Азам А. Имомов, Zuhriddin A. Nazarov

    БобStochastic processes and statistical mechanicsCommunications in computer and information science20250 иқтибос
    ABI